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Back to Supervised Machine Learning: Regression and Classification

Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
30,836 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: 鈥� Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. 鈥� Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew鈥檚 pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you鈥檙e looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

Top reviews

MA

Jan 28, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and 糖心vlog官网观看.

AA

Apr 30, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

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4676 - 4700 of 5,839 Reviews for Supervised Machine Learning: Regression and Classification

By kronux u

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Apr 14, 2023

Great Course.

By Santiago G

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Apr 10, 2023

Great course!

By Karan S

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Apr 8, 2023

Great Course!

By AtiF D

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Mar 24, 2023

all time good

By Sam T

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Feb 26, 2023

Easy and Fun!

By ChunYa S

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Feb 23, 2023

Very helpful!

By salim b o

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Feb 5, 2023

great content

By Abhishek

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Jan 31, 2023

Just amazing!

By Jiang L

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Jan 17, 2023

Great course!

By Simao E

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Jan 11, 2023

Excellent !!!

By Jasurbek G

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Jan 11, 2023

Great course.

By L瓢u G N

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Nov 8, 2022

Great course!

By Tanmay R S

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Oct 10, 2022

great course

By Bartlomiej K

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Oct 5, 2022

Just amazing

By Osama M

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Sep 29, 2022

Thanks a lot

By kalu s e

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Sep 22, 2022

Just perfect

By Jadhav D

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Sep 15, 2022

GREAT SKILLS

By Babak A

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Aug 25, 2022

Great course!

By Jndd15

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Aug 25, 2022

Supa awesome!

By Gabriele M

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Aug 19, 2022

great course

By Erkang X

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Aug 19, 2022

great course!

By Yuwei S

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Jul 30, 2022

Good Lecturer

By Michel M F

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Jun 29, 2022

Great course!

By Trang Q K

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Jun 27, 2022

Great course.

By Nasir A

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Jul 24, 2025

great course